Microsoft Azure Data Fundamentals (DP-900日本語版) : DP-900日本語

  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 20, 2026
  • Q & A: 332 Questions and Answers

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Non-Relational Data in Azure15-20%- Data processing options for non-relational data
- Non-relational data concepts
- Azure storage services
  • 1. Azure Blob Storage
    • 2. Azure Table Storage
      • 3. Azure Cosmos DB
        Topic 2: Relational Data in Azure20-25%- Azure relational data services
        • 1. Azure SQL Database
          • 2. Azure SQL Managed Instance
            • 3. SQL Server on Azure VMs
              - Querying relational data
              - Relational data concepts
              Topic 3: Core Data Concepts25-30%- Data analytics workloads overview
              - Roles and responsibilities in data work
              - Types of core data workloads
              - Relational vs non-relational data
              Topic 4: Analytics Workloads in Azure25-30%- Azure analytics services
              • 1. Azure Synapse Analytics
                • 2. Power BI
                  • 3. Azure Data Lake Storage
                    - Data analytics concepts
                    - Data ingestion and processing
                    - Data visualization and reporting

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